{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据归一化"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "为了避免在计算中受到极端值的影响，如计算距离时受过大的数值影响，需要对input的数据进行归一化"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "解决方法：将所有的数据映射到统一尺度\n",
    "\n",
    "**最值归一化（normalization）**：把所有数据映射到0-1之间，**适用于分布有明显边界的情况（如成绩[0,100]、像素点[0,255]等等）；受outlier影响较大**"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**均值方差归一化（standardization)：**把所有的数据归一到均值为0，方差为1的分布中，**适用于数据分布没有明显的边界；有可能存在极端数据值等情况**"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 最值归一化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = np.random.randint(0,100,size=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.83157895, 0.82105263, 0.6       , 0.86315789, 0.46315789,\n",
       "       0.98947368, 0.43157895, 0.76842105, 0.06315789, 0.38947368,\n",
       "       0.01052632, 0.69473684, 0.65263158, 0.12631579, 0.82105263,\n",
       "       0.89473684, 0.83157895, 0.26315789, 0.86315789, 0.75789474,\n",
       "       0.75789474, 0.83157895, 0.84210526, 0.84210526, 0.65263158,\n",
       "       0.55789474, 0.21052632, 0.36842105, 0.82105263, 0.21052632,\n",
       "       0.63157895, 0.17894737, 0.90526316, 0.16842105, 0.31578947,\n",
       "       0.95789474, 0.64210526, 0.21052632, 0.73684211, 0.36842105,\n",
       "       0.96842105, 0.93684211, 0.02105263, 0.88421053, 0.58947368,\n",
       "       0.17894737, 0.09473684, 0.38947368, 0.55789474, 0.52631579,\n",
       "       0.34736842, 0.67368421, 0.65263158, 0.34736842, 0.08421053,\n",
       "       0.93684211, 0.41052632, 0.87368421, 0.17894737, 0.75789474,\n",
       "       0.28421053, 0.95789474, 0.72631579, 0.01052632, 0.82105263,\n",
       "       0.62105263, 0.09473684, 0.71578947, 0.02105263, 0.68421053,\n",
       "       0.56842105, 0.15789474, 0.14736842, 0.91578947, 0.07368421,\n",
       "       0.27368421, 0.02105263, 0.26315789, 0.47368421, 0.67368421,\n",
       "       0.13684211, 0.78947368, 0.70526316, 0.21052632, 0.76842105,\n",
       "       0.51578947, 0.        , 0.73684211, 1.        , 0.38947368,\n",
       "       0.55789474, 0.31578947, 0.49473684, 0.14736842, 0.84210526,\n",
       "       0.01052632, 0.15789474, 0.75789474, 0.75789474, 0.28421053])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#使用最值归一化\n",
    "(x - np.min(x)) / (np.max(x) - np.min(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.8315789473684211,\n",
       " 0.8210526315789474,\n",
       " 0.6,\n",
       " 0.8631578947368421,\n",
       " 0.4631578947368421,\n",
       " 0.9894736842105263,\n",
       " 0.43157894736842106,\n",
       " 0.7684210526315789,\n",
       " 0.06315789473684211,\n",
       " 0.3894736842105263,\n",
       " 0.010526315789473684,\n",
       " 0.6947368421052632,\n",
       " 0.6526315789473685,\n",
       " 0.12631578947368421,\n",
       " 0.8210526315789474,\n",
       " 0.8947368421052632,\n",
       " 0.8315789473684211,\n",
       " 0.2631578947368421,\n",
       " 0.8631578947368421,\n",
       " 0.7578947368421053,\n",
       " 0.7578947368421053,\n",
       " 0.8315789473684211,\n",
       " 0.8421052631578947,\n",
       " 0.8421052631578947,\n",
       " 0.6526315789473685,\n",
       " 0.5578947368421052,\n",
       " 0.21052631578947367,\n",
       " 0.3684210526315789,\n",
       " 0.8210526315789474,\n",
       " 0.21052631578947367,\n",
       " 0.631578947368421,\n",
       " 0.17894736842105263,\n",
       " 0.9052631578947369,\n",
       " 0.16842105263157894,\n",
       " 0.3157894736842105,\n",
       " 0.9578947368421052,\n",
       " 0.6421052631578947,\n",
       " 0.21052631578947367,\n",
       " 0.7368421052631579,\n",
       " 0.3684210526315789,\n",
       " 0.968421052631579,\n",
       " 0.9368421052631579,\n",
       " 0.021052631578947368,\n",
       " 0.8842105263157894,\n",
       " 0.5894736842105263,\n",
       " 0.17894736842105263,\n",
       " 0.09473684210526316,\n",
       " 0.3894736842105263,\n",
       " 0.5578947368421052,\n",
       " 0.5263157894736842,\n",
       " 0.3473684210526316,\n",
       " 0.6736842105263158,\n",
       " 0.6526315789473685,\n",
       " 0.3473684210526316,\n",
       " 0.08421052631578947,\n",
       " 0.9368421052631579,\n",
       " 0.4105263157894737,\n",
       " 0.8736842105263158,\n",
       " 0.17894736842105263,\n",
       " 0.7578947368421053,\n",
       " 0.28421052631578947,\n",
       " 0.9578947368421052,\n",
       " 0.7263157894736842,\n",
       " 0.010526315789473684,\n",
       " 0.8210526315789474,\n",
       " 0.6210526315789474,\n",
       " 0.09473684210526316,\n",
       " 0.7157894736842105,\n",
       " 0.021052631578947368,\n",
       " 0.6842105263157895,\n",
       " 0.5684210526315789,\n",
       " 0.15789473684210525,\n",
       " 0.14736842105263157,\n",
       " 0.9157894736842105,\n",
       " 0.07368421052631578,\n",
       " 0.2736842105263158,\n",
       " 0.021052631578947368,\n",
       " 0.2631578947368421,\n",
       " 0.47368421052631576,\n",
       " 0.6736842105263158,\n",
       " 0.1368421052631579,\n",
       " 0.7894736842105263,\n",
       " 0.7052631578947368,\n",
       " 0.21052631578947367,\n",
       " 0.7684210526315789,\n",
       " 0.5157894736842106,\n",
       " 0.0,\n",
       " 0.7368421052631579,\n",
       " 1.0,\n",
       " 0.3894736842105263,\n",
       " 0.5578947368421052,\n",
       " 0.3157894736842105,\n",
       " 0.49473684210526314,\n",
       " 0.14736842105263157,\n",
       " 0.8421052631578947,\n",
       " 0.010526315789473684,\n",
       " 0.15789473684210525,\n",
       " 0.7578947368421053,\n",
       " 0.7578947368421053,\n",
       " 0.28421052631578947]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "x = [(i - np.min(x)) / (np.max(x) - np.min(x)) for i in x]\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = np.random.randint(1,100,size=(50,2))\n",
    "x = np.array(x,dtype=\"float\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 4., 49.],\n",
       "       [ 3., 98.],\n",
       "       [51., 58.],\n",
       "       [ 1., 34.],\n",
       "       [51., 41.],\n",
       "       [28., 35.],\n",
       "       [24., 56.],\n",
       "       [35., 47.],\n",
       "       [39., 79.],\n",
       "       [60., 55.]])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x[:10,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "x[:,0] = (x[:,0] - np.min(x[:,0])) / (np.max(x[:,0]) - np.min(x[:,0]))\n",
    "x[:,1] = (x[:,1] - np.min(x[:,1])) / (np.max(x[:,1]) - np.min(x[:,1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.03191489, 0.48958333],\n",
       "       [0.0212766 , 1.        ],\n",
       "       [0.53191489, 0.58333333],\n",
       "       [0.        , 0.33333333],\n",
       "       [0.53191489, 0.40625   ],\n",
       "       [0.28723404, 0.34375   ],\n",
       "       [0.24468085, 0.5625    ],\n",
       "       [0.36170213, 0.46875   ],\n",
       "       [0.40425532, 0.80208333],\n",
       "       [0.62765957, 0.55208333],\n",
       "       [0.18085106, 0.44791667],\n",
       "       [0.46808511, 0.51041667],\n",
       "       [0.78723404, 0.66666667],\n",
       "       [0.57446809, 0.95833333],\n",
       "       [0.86170213, 0.9375    ],\n",
       "       [0.5       , 0.72916667],\n",
       "       [0.93617021, 0.71875   ],\n",
       "       [0.29787234, 0.53125   ],\n",
       "       [0.44680851, 0.69791667],\n",
       "       [0.20212766, 0.66666667],\n",
       "       [0.96808511, 0.04166667],\n",
       "       [0.46808511, 0.71875   ],\n",
       "       [0.35106383, 0.83333333],\n",
       "       [0.9893617 , 0.10416667],\n",
       "       [0.65957447, 0.19791667],\n",
       "       [0.40425532, 0.96875   ],\n",
       "       [0.13829787, 0.63541667],\n",
       "       [0.40425532, 0.66666667],\n",
       "       [0.9893617 , 0.0625    ],\n",
       "       [0.70212766, 0.86458333],\n",
       "       [0.69148936, 0.94791667],\n",
       "       [0.64893617, 0.85416667],\n",
       "       [0.75531915, 0.16666667],\n",
       "       [0.56382979, 0.20833333],\n",
       "       [0.39361702, 0.29166667],\n",
       "       [0.71276596, 0.41666667],\n",
       "       [0.44680851, 0.34375   ],\n",
       "       [0.11702128, 0.        ],\n",
       "       [0.68085106, 0.54166667],\n",
       "       [0.59574468, 0.13541667],\n",
       "       [0.72340426, 0.41666667],\n",
       "       [0.39361702, 0.22916667],\n",
       "       [0.0212766 , 0.88541667],\n",
       "       [0.80851064, 0.91666667],\n",
       "       [0.74468085, 0.02083333],\n",
       "       [0.0212766 , 0.90625   ],\n",
       "       [1.        , 0.33333333],\n",
       "       [0.4787234 , 0.34375   ],\n",
       "       [0.43617021, 0.39583333],\n",
       "       [0.36170213, 0.90625   ]])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x[:,0],x[:,1])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.4993617021276595"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(x[:,0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.27425696977203295"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.std(x[:,0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5352083333333333"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(x[:,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2887645048064445"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.std(x[:,1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 均值方差归一化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "x2 = np.random.randint(0,100,(50,2))\n",
    "x2 = np.array(x2,dtype=\"float\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "x2[:,0] = (x2[:,0] - np.mean(x2[:,0])) / np.std(x2[:,0])\n",
    "x2[:,1] = (x2[:,1] - np.mean(x2[:,1])) / np.std(x2[:,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0.29817349,  1.25335562],\n",
       "       [ 0.74188405,  0.64084218],\n",
       "       [-1.44708802,  1.17679144],\n",
       "       [-0.58924762, -1.04356977],\n",
       "       [-0.73715113, -0.62246678],\n",
       "       [-0.35260199, -0.69903096],\n",
       "       [-1.15128098,  1.63617652],\n",
       "       [-1.06253887,  0.14317502],\n",
       "       [-1.24002309, -1.08185186],\n",
       "       [ 1.27433671, -0.04823543],\n",
       "       [ 0.3277542 ,  0.44943173],\n",
       "       [ 0.20943138, -0.85215932],\n",
       "       [ 1.30391741, -1.88577575],\n",
       "       [ 0.83062616,  0.10489293],\n",
       "       [ 0.53481912, -0.89044141],\n",
       "       [ 1.33349812,  0.41114965],\n",
       "       [ 1.12643319,  0.06661084],\n",
       "       [-0.91463536, -0.73731305],\n",
       "       [ 0.97852968,  0.29630338],\n",
       "       [ 1.1560139 , -1.04356977],\n",
       "       [ 0.80104545, -1.23498022],\n",
       "       [ 0.03194716,  0.52599591],\n",
       "       [ 0.62356123, -0.96700559],\n",
       "       [-1.41750732,  1.29163771],\n",
       "       [-1.00337747,  1.63617652],\n",
       "       [ 1.42224023, -1.38810858],\n",
       "       [ 1.39265953, -0.1630817 ],\n",
       "       [ 0.71230334, -0.66074887],\n",
       "       [-0.64840902, -0.9287235 ],\n",
       "       [-1.12170028,  0.60256009],\n",
       "       [-0.91463536, -0.08651752],\n",
       "       [-0.97379676,  1.06194517],\n",
       "       [ 1.30391741, -0.77559514],\n",
       "       [ 0.53481912,  1.25335562],\n",
       "       [-1.21044239, -1.77092948],\n",
       "       [-0.17511777,  0.75568845],\n",
       "       [-1.24002309, -0.27792797],\n",
       "       [ 1.12643319,  0.75568845],\n",
       "       [ 1.03769108,  0.9470989 ],\n",
       "       [ 1.06727179,  0.9470989 ],\n",
       "       [-0.91463536, -1.00528768],\n",
       "       [-1.00337747,  1.78930488],\n",
       "       [-1.44708802, -0.00995334],\n",
       "       [-1.09211958, -0.66074887],\n",
       "       [ 1.2151753 , -1.08185186],\n",
       "       [ 0.03194716,  1.25335562],\n",
       "       [ 1.42224023,  0.64084218],\n",
       "       [-0.76673184,  0.71740636],\n",
       "       [-1.38792661,  1.36820189],\n",
       "       [-0.02721425, -1.80921157]])"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x2[:,0],x2[:,1])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-3.2959746043559335e-17"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x2[:,0].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9999999999999998"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x2[:,0].std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.773159728050814e-17"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x2[:,1].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x2[:,1].std()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## sklearn中的Scaler类"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 问题1：对测试数据集如何进行归一化\n",
    "\n",
    "测试数据是模拟真实环境\n",
    "\n",
    "    | 真实环境很有可能无法得到所有测试数据的均值和方差\n",
    "    | 对数据的归一化也是算法的一部分\n",
    "\n",
    "**答案：(x_test-mean_train)/std_train**，因此要保存训练数据集得到的均值和方差"
   ]
  },
  {
   "attachments": {
    "image.png": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from sklearn import datasets\n",
    "iris = datasets.load_iris()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = iris.data\n",
    "y = iris.target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[5.1, 3.5, 1.4, 0.2],\n",
       "       [4.9, 3. , 1.4, 0.2],\n",
       "       [4.7, 3.2, 1.3, 0.2],\n",
       "       [4.6, 3.1, 1.5, 0.2],\n",
       "       [5. , 3.6, 1.4, 0.2],\n",
       "       [5.4, 3.9, 1.7, 0.4],\n",
       "       [4.6, 3.4, 1.4, 0.3],\n",
       "       [5. , 3.4, 1.5, 0.2],\n",
       "       [4.4, 2.9, 1.4, 0.2],\n",
       "       [4.9, 3.1, 1.5, 0.1]])"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X[:10,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.2,random_state=666)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## sklearn中的StandardScaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "sc = StandardScaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "StandardScaler(copy=True, with_mean=True, with_std=True)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#StandardScaler计算并自动保存相关信息\n",
    "sc.fit(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([5.83416667, 3.08666667, 3.70833333, 1.17      ])"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#训练集各列的均值\n",
    "sc.mean_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.81019502, 0.44327067, 1.76401924, 0.75317107])"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#训练集各列的方差\n",
    "sc.scale_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "#对训练集进行归一化处理\n",
    "X_train_sc = sc.transform(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "#对测试集也进行归一化处理\n",
    "X_test_sc = sc.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "#用KNN算法看看对归一化后的数据的分类性能如何\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "knn_clf = KNeighborsClassifier(n_neighbors=4,weights=\"distance\",p=3,n_jobs=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
       "                     metric_params=None, n_jobs=-1, n_neighbors=4, p=3,\n",
       "                     weights='distance')"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn_clf.fit(X_train_sc,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9666666666666667"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn_clf.score(X_test_sc,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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